Can artificial intelligence enhance traditional energy firm green innovation? Based on signal transmission theory
Xiao Yan
School of Economics and Management, Inner Mongolia Normal University
DOI: https://doi.org/10.59429/esta.v12i3.11361
Keywords: intelligence; green innovation; ESG; signal transmission theory
Abstract
As digitalization and intelligence gain increasing prominence, numerous studies have investigated their influence on green innovation and related domains. This paper conducts a comprehensive literature review along horizontal and vertical dimensions. The vertical analysis distinguishes between early and recent research, while the horizontal examination focuses on four key aspects: grounded theories, measurement methodologies for digitalization and intelligence, underlying mechanisms, and innovative approaches. Several critical gaps are identified: the lack of comprehensive theoretical foundations leading to uncertainty in theoretical frameworks (whether linear or U-shaped relationships), oversimplified quantitative methodologies (primarily relying on keyword screening in strategy data), and limited innovative perspectives (predominantly mechanism-focused). Through the novel lens of signal transmission theory, this study proposes an 'Intelligence-ESG-green innovation' theoretical framework. The research contributes new evidence toward resolving theoretical framework uncertainties regarding the relationship between digitalization (intelligence) and green innovation.
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